Cargando…

Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification

Activated sludge process is the most common method for biological treatment of industrial and municipal wastewater. One of the most important parameters in performance of activated sludge systems is quantitative monitoring of biomass to keep the cell concentration in an optimum range. In this study,...

Descripción completa

Detalles Bibliográficos
Autores principales: Asgharnejad, Hashem, Sarrafzadeh, Mohammad-Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530208/
https://www.ncbi.nlm.nih.gov/pubmed/33042087
http://dx.doi.org/10.3389/fmicb.2020.574966
_version_ 1783589522883215360
author Asgharnejad, Hashem
Sarrafzadeh, Mohammad-Hossein
author_facet Asgharnejad, Hashem
Sarrafzadeh, Mohammad-Hossein
author_sort Asgharnejad, Hashem
collection PubMed
description Activated sludge process is the most common method for biological treatment of industrial and municipal wastewater. One of the most important parameters in performance of activated sludge systems is quantitative monitoring of biomass to keep the cell concentration in an optimum range. In this study, a novel method for activated sludge quantification based on image processing and RGB analysis is proposed. According to the results, the intensity of blue color in the macroscopic image of activated sludge culture can be a very accurate index for cell concentration measurement and R(2) coefficient, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) which are 0.990, 2.000, 0.323, and 13.848, respectively, prove this claim. Besides, in order to avoid the difficulties of working in the three-parameter space of RGB, converting to grayscale space has been applied which can estimate cell concentration with R(2) = 0.99. Ultimately, an exponential correlation between RGB values and cell concentrations in lower amounts of biomass has been proposed based on Beer-Lambert law which can estimate activated sludge biomass concentration with R(2) = 0.97 based on B index.
format Online
Article
Text
id pubmed-7530208
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-75302082020-10-09 Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification Asgharnejad, Hashem Sarrafzadeh, Mohammad-Hossein Front Microbiol Microbiology Activated sludge process is the most common method for biological treatment of industrial and municipal wastewater. One of the most important parameters in performance of activated sludge systems is quantitative monitoring of biomass to keep the cell concentration in an optimum range. In this study, a novel method for activated sludge quantification based on image processing and RGB analysis is proposed. According to the results, the intensity of blue color in the macroscopic image of activated sludge culture can be a very accurate index for cell concentration measurement and R(2) coefficient, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) which are 0.990, 2.000, 0.323, and 13.848, respectively, prove this claim. Besides, in order to avoid the difficulties of working in the three-parameter space of RGB, converting to grayscale space has been applied which can estimate cell concentration with R(2) = 0.99. Ultimately, an exponential correlation between RGB values and cell concentrations in lower amounts of biomass has been proposed based on Beer-Lambert law which can estimate activated sludge biomass concentration with R(2) = 0.97 based on B index. Frontiers Media S.A. 2020-09-18 /pmc/articles/PMC7530208/ /pubmed/33042087 http://dx.doi.org/10.3389/fmicb.2020.574966 Text en Copyright © 2020 Asgharnejad and Sarrafzadeh. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Asgharnejad, Hashem
Sarrafzadeh, Mohammad-Hossein
Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title_full Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title_fullStr Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title_full_unstemmed Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title_short Development of Digital Image Processing as an Innovative Method for Activated Sludge Biomass Quantification
title_sort development of digital image processing as an innovative method for activated sludge biomass quantification
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530208/
https://www.ncbi.nlm.nih.gov/pubmed/33042087
http://dx.doi.org/10.3389/fmicb.2020.574966
work_keys_str_mv AT asgharnejadhashem developmentofdigitalimageprocessingasaninnovativemethodforactivatedsludgebiomassquantification
AT sarrafzadehmohammadhossein developmentofdigitalimageprocessingasaninnovativemethodforactivatedsludgebiomassquantification